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19952026
most citedKnowledge Graphs

1.8k citations · 2.6k across the 36 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.SI2019★ 6 cited

Understanding Social Networks using Transfer Learning

Jun Sun, Steffen Staab, Jérôme Kunegis

A detailed understanding of users contributes to the understanding of the Web's evolution, and to the development of Web applications. Although for new Web platforms such a study i…

cs.PL2019

Type Checking Program Code using SHACL (Extended Version)

Martin Leinberger, Philipp Seifer, Claudia Schon +2

It is a strength of graph-based data formats, like RDF, that they are very flexible with representing data. To avoid run-time errors, program code that processes highly-flexible da…

cs.CL2019★ 10 cited

CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumors

Ipek Baris, Lukas Schmelzeisen, Steffen Staab

This paper describes our submission to SemEval-2019 Task 7: RumourEval: Determining Rumor Veracity and Support for Rumors. We participated in both subtasks. The goal of subtask A i…

cs.PL2019★ 4 cited

Semantic Query Integration With Reason

Philipp Seifer, Martin Leinberger, Ralf Lämmel +1

Graph-based data models allow for flexible data representation. In particular, semantic data based on RDF and OWL fuels use cases ranging from general knowledge graphs to domain sp…

cs.CL2019★ 1 cited

Learning Taxonomies of Concepts and not Words using Contextualized Word Representations: A Position Paper

Lukas Schmelzeisen, Steffen Staab

Taxonomies are semantic hierarchies of concepts. One limitation of current taxonomy learning systems is that they define concepts as single words. This position paper argues that c…